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Innhold levert av Carl Franklin. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Carl Franklin eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Building an AI App with Calum Simpson

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Manage episode 522535216 series 1691095
Innhold levert av Carl Franklin. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Carl Franklin eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
What's it like building an AI-centric application? Carl and Richard talk to Calum Simpson of SSW about their product YakShaver. Calum talks about building a tool that speeds reporting on issues and ideas, so you can spend more time focusing on key issues rather than "shaving the yak." The use of LLMs makes YakShaver far more capable, and the upcoming V2 uses Model Context Protocol (MCP) servers to expand functionality and feed information directly into bug reports, such as GitHub issues and feature requests. The conversation also turns a bit more philosophical, focusing on innovative uses of LLMs, properly constraining these tools, and maintaining a transparent chain of responsibility for your code.
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1973 episoder

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iconDel
 
Manage episode 522535216 series 1691095
Innhold levert av Carl Franklin. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Carl Franklin eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
What's it like building an AI-centric application? Carl and Richard talk to Calum Simpson of SSW about their product YakShaver. Calum talks about building a tool that speeds reporting on issues and ideas, so you can spend more time focusing on key issues rather than "shaving the yak." The use of LLMs makes YakShaver far more capable, and the upcoming V2 uses Model Context Protocol (MCP) servers to expand functionality and feed information directly into bug reports, such as GitHub issues and feature requests. The conversation also turns a bit more philosophical, focusing on innovative uses of LLMs, properly constraining these tools, and maintaining a transparent chain of responsibility for your code.
  continue reading

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